Best fit lines and curves, and some mathe-magical transformations
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Language
English
ISBN
9781315160085, 1315160080, 9781351661430, 1351661434
Notes
Bibliography
Includes bibliographical references and index.
Description
Best Fit Lines and Curves, and Some Mathe-Magical Transformations (Volume III of the Working Guides to Estimating & Forecasting series) concentrates on techniques for finding the Best Fit Line or Curve to some historical data allowing us to interpolate or extrapolate the implied relationship that will underpin our prediction. A range of simple 'Moving Measures' are suggested to smooth the underlying trend and quantify the degree of noise or scatter around that trend. The advantages and disadvantages are discussed and a simple way to offset the latent disadvantage of most Moving Measure Techniques is provided. Simple Linear Regression Analysis, a more formal numerical technique that calculates the line of best fit subject to defined 'goodness of fit' criteria. Microsoft Excel is used to demonstrate how to decide whether the line of best fit is a good fit, or just a solution in search of some data. These principles are then extended to cover multiple cost drivers, and how we can use them to quantify 3-Point Estimates. With a deft sleight of hand, certain commonly occurring families of non-linear relationships can be transformed mathe-magically into linear formats, allowing us to exploit the powers of Regression Analysis to find the Best Fit Curves. The concludes with an exploration of the ups and downs of seasonal data (Time Series Analysis). Supported by a wealth of figures and tables, this is a valuable resource for estimators, engineers, accountants, project risk specialists as well as students of cost engineering.
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O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Jones, A. 1. (2019). Best fit lines and curves, and some mathe-magical transformations . Routledge.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Jones, Alan 1953-. 2019. Best Fit Lines and Curves, and Some Mathe-magical Transformations. Routledge.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Jones, Alan 1953-. Best Fit Lines and Curves, and Some Mathe-magical Transformations Routledge, 2019.
MLA Citation, 9th Edition (style guide)Jones, Alan 1953-. Best Fit Lines and Curves, and Some Mathe-magical Transformations Routledge, 2019.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
c1ff591e-06a8-148c-e261-7bbf7430a555-eng
Grouping Information
| Grouped Work ID | c1ff591e-06a8-148c-e261-7bbf7430a555-eng |
|---|---|
| Full title | best fit lines and curves and some mathe magical transformations |
| Author | jones alan |
| Grouping Category | book |
| Last Update | 2024-06-04 09:42:47AM |
| Last Indexed | 2024-06-04 13:24:05PM |
Book Cover Information
| Image Source | default |
|---|---|
| First Loaded | Aug 15, 2023 |
| Last Used | Nov 11, 2023 |
Marc Record
| First Detected | Mar 21, 2023 12:08:09 PM |
|---|---|
| Last File Modification Time | Mar 21, 2023 12:08:09 PM |
| Suppressed | Record had no items |
MARC Record
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| 082 | 0 | 4 | |a 519.5/6|2 23 |
| 100 | 1 | |a Jones, Alan|q (Alan R.),|d 1953-|e author. | |
| 245 | 1 | 0 | |a Best fit lines and curves, and some mathe-magical transformations /|c Alan R. Jones. |
| 264 | 1 | |a Abingdon, Oxon ;|a New York, NY :|b Routledge,|c 2019. | |
| 300 | |a 1 online resource (1 volume) :|b illustrations | ||
| 336 | |a text|b txt|2 rdacontent | ||
| 337 | |a computer|b c|2 rdamedia | ||
| 338 | |a online resource|b cr|2 rdacarrier | ||
| 490 | 1 | |a Working guides to estimating & forecasting ;|v volume 3 | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Introduction and objectives -- Linear and nonlinear properties (!) of straight lines -- Trendsetting with some simple moving measures -- Simple and multiple linear regression -- Linear transformation: making bent lines straight -- Transforming nonlinear regression -- Least squares nonlinear curve fitting without the logs -- The ups and downs of time series analysis. | |
| 520 | |a Best Fit Lines and Curves, and Some Mathe-Magical Transformations (Volume III of the Working Guides to Estimating & Forecasting series) concentrates on techniques for finding the Best Fit Line or Curve to some historical data allowing us to interpolate or extrapolate the implied relationship that will underpin our prediction. A range of simple 'Moving Measures' are suggested to smooth the underlying trend and quantify the degree of noise or scatter around that trend. The advantages and disadvantages are discussed and a simple way to offset the latent disadvantage of most Moving Measure Techniques is provided. Simple Linear Regression Analysis, a more formal numerical technique that calculates the line of best fit subject to defined 'goodness of fit' criteria. Microsoft Excel is used to demonstrate how to decide whether the line of best fit is a good fit, or just a solution in search of some data. These principles are then extended to cover multiple cost drivers, and how we can use them to quantify 3-Point Estimates. With a deft sleight of hand, certain commonly occurring families of non-linear relationships can be transformed mathe-magically into linear formats, allowing us to exploit the powers of Regression Analysis to find the Best Fit Curves. The concludes with an exploration of the ups and downs of seasonal data (Time Series Analysis). Supported by a wealth of figures and tables, this is a valuable resource for estimators, engineers, accountants, project risk specialists as well as students of cost engineering. | ||
| 588 | 0 | |a Print version record. | |
| 590 | |a O'Reilly|b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Industrial engineering|x Statistical methods. | |
| 650 | 0 | |a Regression analysis.|9 53277 | |
| 650 | 0 | |a Costs, Industrial|x Estimates. | |
| 650 | 0 | |a Costs, Industrial|x Statistical methods. | |
| 776 | 0 | 8 | |i Print version:|a Jones, Alan (Alan R.), 1953-|t Best fit lines and curves.|d Abingdon, Oxon ; New York, NY : Routledge, 2018|z 9781138065000|w (DLC) 2017059102|w (OCoLC)1019836403 |
| 830 | 0 | |a Working guides to estimating & forecasting. | |
| 856 | 4 | 0 | |u https://library.access.arlingtonva.us/login?url=https://learning.oreilly.com/library/view/~/9781351661430/?ar|x O'Reilly|z eBook |
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